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F5 Principal Full stack Cloud Engineer 
United States, Washington, Seattle 
509570477

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What you’ll own

  • Architect and ship full-stack solutions (React/Next.js + TypeScript frontends; Node/Python/Go/Java backends) and production APIs.

  • Design cloud architectures on public cloud: managed DBs, object storage, networking, IAM, and secure service-to-service patterns.

  • Build data platforms: relational + NoSQL, caching, search, event streams, and object storage; enable vector/semantic stores for AI.

  • Own CI/CD and IaC (Terraform / ARM / Bicep, GitHub Actions / Azure DevOps / Jenkins); containerize and run on Kubernetes (AKS/EKS).

  • Instrument observability and SLAs (metrics, tracing, logging); ensure operational excellence and security/compliance.

  • Integrate with enterprise platforms (Salesforce, Coveo/search, identity providers) and partner with Product, Support Ops, Security, and ML teams.

  • Mentor engineers and introduce standards, templates, and automation to scale delivery.

Required qualifications

  • 10+ years building full-stack systems at scale.

  • Strong frontend (React/Next.js + TypeScript) and backend(Node/Python/Go/Java)experience.

  • Deep Azure and/or AWS experience: compute, networking, managed databases(Postgres/Aurora/DynamoDB/Cosmos),S3/Azure Blob.

  • Hands-on CI/CD and IaC (Terraform / ARM / Bicep; GitHub Actions / Azure DevOps / Jenkins).

  • Containerization & orchestration: Docker + Kubernetes (AKS/EKS).

  • Data platform familiarity: caching (Redis), search(Elasticsearch/Coveo),eventing (Kafka/Kinesis), object storage.

  • Strong observability, security, and production-ops experience.

  • Excellent communicator who translates product/customer needs into robust technical solutions.

  • Leverages AI tools to boost team productivity — uses AI-assisted development and automation to create multiplier effects across the org.

  • Built predictive & generative AI apps in production and can guide product requirements to embed AI features (RAG, embeddings/vector stores, predictive pipelines) into workflows.

  • BS/MS in CS or equivalent experience.

Nice to have

  • Prior experience with customer success / support systems (portal, knowledge).

  • Familiarity with LLM integration patterns and vector DBs (FAISS, Milvus).

  • Experience in regulated environments (FedRAMP/GovCloud).

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

The annual base pay for this position is: $186,400.00 - $279,600.00

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